TDWI Checklist Report | Building Trusted Data Products for AI
March 31, 2026
AI systems consume data, and their outputs depend on the quality, context, and governance of their inputs.
Organizations that treat data as managed products, with clear ownership, documented semantics, embedded quality controls, and governed access, create the foundation AI requires. Those that feed AI from ungoverned data lakes or fragmented silos discover that governance failures cascade into AI failures.
But what exactly is a data product? Who owns it? How do consumers find and access it? How do quality and policy controls work in practice?
Download this checklist today for six milestones you can use as a guide to build the infrastructure for successful data products. For each milestone, we identify deliverables, responsible roles, and common pitfalls.